Demographics details for Mitchell, IN vs Mossville, IL
Population Overview
Compare main population characteristics in Mitchell, IN vs Mossville, IL.
Data | Mitchell | Mossville |
---|---|---|
Population | 3,940 | 188 |
Median Age | 35.5 years | 39.0 years |
Median Income | $51,025 | $78,000 |
Married Families | 32.0% | 75.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Mitchell vs Mossville
- In Mitchell, the population is higher at 3,940, compared to 188 in Mossville.
- The median age in Mossville is higher at 39.0 years, compared to 35.5 years in Mitchell.
- Mossville has a higher median income of $78,000, compared to $51,025 in Mitchell.
- In Mossville, the percentage of married families is higher at 75.0%, compared to 32.0% in Mitchell.
- Mitchell has a higher poverty level at 10% compared to 5% in Mossville.
- The unemployment rate is the same in both Mitchell and Mossville at 3.5%.
Demographics
Demographics Mitchell vs Mossville provide insight into the diversity of the communities to compare.
Demographic | Mitchell | Mossville |
---|---|---|
Black | 1 | Data is updating |
White | 92 | 100 |
Asian | 4 | Data is updating |
Hispanic | 1 | Data is updating |
Two or More Races | 2 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mitchell vs Mossville
- A higher percentage of Black residents are in Mitchell at 1% compared to 0% in Mossville.
- The percentage of White residents is higher in Mossville at 100% compared to 92% in Mitchell.
- The Asian population is larger in Mitchell at 4% compared to 0% in Mossville.
- The Hispanic community is larger in Mitchell at 1% compared to 0% in Mossville.
- More residents identify as two or more races in Mitchell at 2% compared to 0% in Mossville.
- The percentage of American Indian residents is the same in both Mitchell and Mossville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mitchell | Mossville |
---|---|---|
Mental Health Not Good | 19.4% | Data is updating% |
Physical Health Not Good | 13.7% | Data is updating% |
Depression | 28.5% | Data is updating% |
Smoking | 24.3% | Data is updating% |
Binge Drinking | 15.9% | Data is updating% |
Obesity | 43.5% | Data is updating% |
Disability Percentage | 21.0% | Data is updating% |
Health Statistics Comparison: Mitchell vs Mossville
- More residents in Mitchell report poor mental health at 19.4% compared to 0.0% in Mossville.
- Depression is more prevalent in Mitchell at 28.5% compared to 0.0% in Mossville.
- Smoking is more prevalent in Mitchell at 24.3% compared to 0.0% in Mossville.
- Binge drinking is more common in Mitchell at 15.9% compared to 0.0% in Mossville.
- Obesity rates are higher in Mitchell at 43.5% compared to 0.0% in Mossville.
- Disability percentages are higher in Mitchell at 21.0% compared to 0.0% in Mossville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mitchell | Mossville |
---|---|---|
No Schooling | 1.6% (63) | 0.0% (Data is updating) |
High School Diploma | 20.4% (802) | 0.0% (Data is updating) |
Less than High School | 29.2% (1,152) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 9.8% (387) | 0.0% (Data is updating) |
Education Levels Comparison: Mitchell vs Mossville
- A higher percentage of residents in Mitchell have no formal schooling at 1.6% compared to 0.0% in Mossville.
- A higher percentage of residents in Mitchell hold a high school diploma at 20.4% compared to 0.0% in Mossville.
- More residents in Mitchell have less than a high school education at 29.2% compared to 0.0% in Mossville.
- A higher percentage of residents in Mitchell hold a bachelor's degree or higher at 9.8% compared to 0.0% in Mossville.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.